Abstract
The evolution of industrial automation has been divided into four or five main cycles of “industrial revolutions,” also called “disruptive innovations” and “automation revolutions.” The most recent one, started around the 1990s and still on-going, points to the current perspectives envisioned for the twenty-first century and perhaps even beyond. In practice, however, it is difficult to comprehend the real value and impacts by the so called Digital Manufacturing, Smart Factory, Automation 5.0, or Industry 4.0. Furthermore, with frequent and rapid innovations, it is unclear how the emerging digital, smart, and cyber-augmented factories of the future can benefit from the digital and cyber convergence. Which are the dominant factors that motivate and justify the evolution of manufacturing through this current cycle? In this article, we review the relationships between digital, virtual, and cyber convergence, and recent manufacturing engineering challenges ranging from virtual enterprises to collaborative e-Manufacturing, and service orientation. We then point out new perspectives and opportunities for design and re-arrangement in production, highlighting the trend of fusion between knowledge, product, process, and service. The impact on methods of analysis, informatics, collaborative intelligence, and design of industrial systems is also analyzed under the new trends and achievements so far in digital and cyber convergence. With several case studies, we also illustrate the emerging challenges.
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Notes
The software crisis was created by the difference in the relatively slow evolution of hardware—inherited from the 1950s—compared to rapid software development evolution.
References
Bainbridge WS, Roco MC (2016) Handbook of science and technology convergence, Springer reference
Blackman C (1998) Convergence between telecommunications and other media. Telecommunication Policy 22 (Elsevier Science Ltd.): 163–170
Brettel M, Friederichsen N, Keller M, Rosemberg M (2014) How virtualization, decentralization and network building change the manufacturing landscape: an Industry 4.0 perspective. International Journal on Mechanical, Industrial Science and Engineering 8(1):37–44
Camarinha-Matos L, Afsarmanesh H (1999) Tendencies and general requirements for virtual enterprises. In: Infrastructures for virtual enterprises, chap. 2, pp. 15–30
Camarinha-Matos LM, Afsarmanesh H, Galeano N, Molina A (2009) Collaborative networked organizations - concepts and practice in manufacturing enterprises. Comput Ind Eng 57:46–60
Conti M, Das SK, Bisdikian C, Kumar M, Ni LM, Passarella A, Roussos G, Tröster G, Tsudik G, Zambonelli F (2012) Looking ahead in pervasive computing: challenges and opportunities in the era of cyber–physical convergence. Per Mob Comp 8(1):2–21
Devadasan P, Zhong H, Nof SY (2013) Collaborative intelligence in knowledge based service planning. Expert Syst Appl 40(17):6778–6787
DIN SPEC 91345:2016-04 (2016) Reference Architecture Model Industrie 4.0 (RAMI4.0), DIN Deutsches Institut für Normung e. V., Berlin
Dutra DS, Silva JR (2016) Product-service architecture (PSA): towards a service engineering perspective in Industry 4.0. IFAC-Papers OnLine 49(31):91–96. https://doi.org/10.1016/j.ifacol.2016.12.167
Foster I, Kesselman C, Tuecke S (2001) The anatomy of the grid: enabling scalable virtual organizations. Int J High Perf Comp App 15:200–222
Gao J, Yao Y, Zhu V, Sun L, Lin L (2011) Service-oriented manufacturing: a new product pattern and manufacturing paradigm. J Intell Manuf 22(3):435–446
Giachetti C, Dagnini GB (2017) The impact of technological convergence on firm’s product portfolio strategy: an information-based imitation approach. R&D Mgt 47(1):17–35
Hermann M, Pentek T, Otto B (2016) Design principles for Industry 4.0 Scenarios. In: Proc. of 49th Hawaii International Conference on System Sciences, pp. 3928–3937. IEEE Press, Hawaii
Huang CY, Ceroni JA, Nof SY (2000) Agility of networked enterprises – parallelism, error recovery and conflict resolution. Comput Ind 42:275–287
IBM (2008) Reaping the rewards of your service-oriented architecture infrastructure, IBM global services
ISO, ISO/IEC/TR 30102 (2012) Information technology — Distributed Application Platforms and Services (DAPS) — General technical principles of Service Oriented Architecture
ISO/IEC 18384:2016 (2016) Information technology — Reference Architecture for Service Oriented Architecture (SOA RA)
Jiang P, Ding K, Leng J (2016) Towards a cyber-physical-social-connected and service-oriented manufacturing paradigm: social manufacturing. Mfg Let 7:15–21
Ko HS, Nof SY (2012) Design and application of task administration protocols for collaborative production and service systems. Int J Prod Econ 135:177–189
Kung L, Kroll AM, Ripken B, Walker M (1999) Impact of the digital revolution on the media and communications industriesd. J Eur Ins for Comm and Cult 6(3):29–48
Lartigau J, Xu X, Nie L, Zhan D (2015) Cloud manufacturing service composition based on QoS with geo-perspective transportation using an improved Artificial Bee Colony optimization algorithm. Int J Prod Res 53:4380–4404
Li B, Zhang L, Wang S, Tao F, Cao J, Jiang X, Song X, Chai X (2010) Cloud manufacturing: a new service-oriented manufacturing model. Comput Integr Manuf Syst 16(1):1–8
Lu W, Zhao Y, Li W, Du H (2014) Design and application of microgrid operation control system based on iec 61850. J Mod Power Sys Cl Energy 3(2):256–263
Melani A, Silva J, Souza G, Silva J (2016) Fault diagnosis based on petri nets: the case study of a hydropower plant. IFAC Papers Online 49(31):1–6
Moghaddam M, Nof SY (2017a) Best matching theory and applications. Springer
Moghaddam M, Nof SY (2017b) The collaborative factory of the future. Int J Comput Integr Manuf 30(1):23–43
Moghaddam M, Nof SY (2018) Collaborative service-component integration in Cloud Manufacturing. Int J Prod Res 56(1–2):677–691
Moghaddam M, Silva JR, Nof SY (2015) Manufacturing-as-a-service: from e-Work and service-oriented architecture to the Cloud Manufacturing paradigm. IFAC Papers OnLine 48(3):828–833. https://doi.org/10.1016/j.ifacol.2015.06.186
Moghaddam M, Kenley CR, Colby JM, Berns MNC, Rausch R, Markham J, Skeffington WM, Garrity J, Chaturvedi AR, Deshmukh AV (2017) Next-generation enterprise architectures: common vernacular and evolution towards service-orientation. In Industrial informatics (INDIN), 2017 IEEE 15th International Conference on (pp. 32–37)
Monostori L (2014) Cyber-physical production systems: roots, expectations and R&D challenges. Procedia Cirp 17:9–13
Mueller M (1999) Digital convergence and its consequences. Journal of the Institute of Communication and Culture 6(3)
Nof SY (2003) Design of effective e-Work: review of models, tools and emerging challenges. PP&Control, Special Issue on e-Work: Models and Cases 15:8–681
Nof SY (2006) Collaborative e-Work and e-Manufacturing: challenges for production and logistic managers. J Intell Manuf 17:689–701
Nof SY (2007) Collaborative control theory for e-Work, e-Production, and e-Service. Annu Rev Control 31:281–292
Nof SY (2013) Research advances in manufacturing with service-oriented e-work and production. In: Tsuzuki M, Silva J (eds) Proc. of the Int. 11th IFAC IMS, Intelligent Manufacturing Systems Workshop. Elsevier, Sao Paulo. https://doi.org/10.1007/978-3-662-45777-1
Nof SY (2017) Cyber-augmented collaboration of distributed e-Work and robotics, (plenary) Brazilian Symposium on Intelligent Automation, SBAI 2017
Nof SY, Ceroni J, Jeong W-T, Moghaddam M (2015) Revolutionizing collaboration through e-Work, e-Business, and e-Service, Springer ACES Series for Automation, Collaboration, and E-Services
Nof SY, Huang C-Y, Stachowiak A (2017) Cyber physical production and resilience, (Plenary), ICPR 24, Poznan
Postigo M, Silva J, Silva J (2018) Formal requirements specification for microgrid based on architecture IEC 61.850. In: E.R.C. da Silva, E.C.T. de Macedo (eds.) proc. of the XXII Brazilian congress on automation. Brazilian society of automation
Qiu R (2014) Service science: the foundation of service engineering and management. Wiley
Rajkumar RR, Lee I, Sha L, Stankovic J (2010) Cyber-physical systems: the next computing revolution. In Proceedings of the 47th design automation conference (pp. 731–736). ACM
Roblek V, Mesko M, Kaprez A. (2016) Complex View of Industry 4.0. SAGE Open pp. 1{11. https://doi.org/10.1177/2158244016653987
Sanders, E.N., Stappers, P.: Co-creation and the new landscapes of design. Co-Design 4(1), 5{18 (2008)
Schmenner RW (2009) Manufacturing, service, and their integration: some history and theory. Int J Oper Prod Manag 29(5):431–443. https://doi.org/10.1108/01443570910953577 URL http://www.emeraldinsight.com/10.1108/01443570910953577
Shimomura Y (2005) Service modeling for service engineering. In: Knowledge and skill chains in engineering and manufacturing, chap. 4, pp. 31–38
Silva JR (2014) New trends in manufacturing: converging to service and intelligent systems. IFAC PapersOnline 47(3):2628–2633. https://doi.org/10.3182/20140824-6-ZA-1003.02823
Silva JR, Nof SY (2015) Manufacturing service: from e-work and service-oriented approach towards a product-service. IFAC-Papers OnLine 48(3):1628–1633. https://doi.org/10.1016/j.ifacol.2015.06.319
Silva JM, Silva JR (2015) Combining KAOS and GHENeSys in the requirement and analysis of service manufac. IFAC-Papers OnLine 48(3):1634–1639. https://doi.org/10.1016/j.ifacol.2015.06.320
Silva J, Salmon A, del Foyo P, Silva J (2018) Requirements engineering at a glance: comparing GORE and UNL methods in the design of automated systems. In: E.R.C. da Silva, E.C.T. de Macedo (eds.) proc. of the XXII Brazilian congress on automation. Brazilian Society of Automation
Spohrer J, Maglio PP, Bailey J, Gruhl D (2007) Steps toward a science of service systems. Computer 40(1):71{77. https://doi.org/10.1109/MC.2007.33
Tao F, Zhao D, Hu Y, Zhou Z (2009) Resource service composition and its optimal-selection based on particle swarm optimization in manufacturing grid system. IEEE Trans Ind Inf 4:315–327
Tao F, Zhang L, Venkatech VC, Luo Y, Cheng Y (2011) Cloud manufacturing: a computing and service oriented manufacturing model. Proc Inst Mech Eng B J Eng Manuf 225:1969–1976
Tao F, Cheng J, Cheng Y, Gu S, Zheng T, Yang H (2017) SDMSim: a manufacturing service supply–demand matching simulator under cloud environment. Robot Comput Integr Manuf 45:34–46
van der Aalst W (2016) Process mining: data science in action. Springer
van der Aalst W, van Hee K (2004) Workflow management: models, methods and systems. MIT Press
Van Lamsweerde A (2009) Requirements engineering: From system goals to UML models to software, vol 10. Chichester, Wiley
Vernadat F, Chan F, Molina A, Nof SY, Panetto H (2018) Industrial systems and knowledge management in industrial engineering: recent advances and new perspectives. Int J Prod Res 56(5):12
Wu D, Greer MJ, Rosen DW, Shaefer D (2013) Cloud manufacturing: strategic vision and state-of-the-art. J Manuf Syst 32:564–579
Yoffie D (1996) Competing in the age of digital convergence. Calif Manag Rev 38(4):31–53
Yu E, Giorgini P, Maiden N, Mylopoulos J (2010) Social modeling for requirements engineering. MIT Press
Zhong H, Nof SY (2015) The dynamic lines of collaboration model: collaborative disruption response in cyber-physical systems. Comput Ind Eng 87:370–382
Zhong H, Levalle RR, Moghaddam M, Nof SY (2015) Collaborative intelligence-definition and measured impacts on internetworked e-work. Mgt Prod Eng Rev 6(1):67–78
Zhou Z, Xie S, Chen D (2012) Fundamentals of digital manufacturing science. Springer
Acknowledgments
S.Y. Nof acknowledges support by colleagues, students, and projects under the PRISM Center for Production, Robotics, and Integration Software for Manufacturing and Management, at Purdue University, and the PGRN, PRISM Global Research Network.
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Nof, S.Y., Silva, J.R. Perspectives on Manufacturing Automation Under the Digital and Cyber Convergence. Polytechnica 1, 36–47 (2018). https://doi.org/10.1007/s41050-018-0006-0
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DOI: https://doi.org/10.1007/s41050-018-0006-0